skip to main content
10.1145/3131704.3131717acmotherconferencesArticle/Chapter ViewAbstractPublication PagesinternetwareConference Proceedingsconference-collections
short-paper

Framework for Adaptive Computation Offloading in IoT Applications

Authors Info & Claims
Published:23 September 2017Publication History

ABSTRACT

The internet of things (IoT) attracts great interest in many application domains concerned with monitoring and control of physical phenomena. IoT applications try to provide more and more functionality and then they inevitably become so complex as to make the limits of devices worse, which may lead to poor performance of applications. Computation offloading is a promising way to improve the performance of an IoT application by executing some parts of the application on remote devices or servers. However, supporting such capability is not easy for application developers due to (1) adaptability: IoT applications often face changes of runtime environments so that the adaptation on offloading is needed. (2) effectiveness: when the device context changes, it needs to dynamically decide the deployment plan of computation tasks, and the reduced execution time must be greater than the network delay and extra overheads caused by offloading. This paper proposes a framework which supports IoT applications with adaptive computation offloading capability. First, a design pattern is proposed to enable an application to be computation offloaded on-demand. Second, an estimation model is presented to automatically decide the deployment plan for offloading. Third, a framework is implemented to support the design pattern and the estimation model. A thorough evaluation on the real-world application is proposed, and the results show that our approach can help reduce execution time by over 45% in most scenarios.

References

  1. Flavio Bonomi, Rodolfo Milito, Preethi Natarajan, Jiang Zhu. Fog Computing: A Platform for Internet of Things and Analytics. Big Data and Internet of Things: A Roadmap for Smart Environments, 2014, 546: 169--186.Google ScholarGoogle ScholarCross RefCross Ref
  2. Ioana Giurgiu, Oriana Riva, Dejan Juric, Ivan Krivulev, Gustavo Alonso. Calling the Cloud: Enabling Mobile Phones as Interfaces to Cloud Applications. In: Proc. of the 10th ACM/IFIP/USENIX International Conference on Middleware, 2009, 5896: 83--102. Google ScholarGoogle ScholarCross RefCross Ref
  3. Android Application Requirements, www.netmite.com/android/mydroid/development/pdk/docs/system requirementsGoogle ScholarGoogle Scholar
  4. Kun Yang, Shumao Ou, Hsiao-Hwa Chen. On effective offloading services for resource-constrained mobile devices running heavier mobile Internet applications. IEEE Communications Magazine, 2008, 46(1): 56--63 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Junxian Huang, Qiang Xu, Birjodh Tiwana, Z. Morley Mao, Ming Zhang, Paramvir Bahl. Anatomizing application performance differences on smartphones. In: Proc. of the 8th international conference on Mobile systems, applications, and services, 2010, pp. 165--178.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Joseph A Paradiso, Thad Starner. Energy Scavenging for Mobile and Wireless Electronics. IEEE Pervasive Computing, 2005, 4(1): 18--27. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Rajesh Balan, Jason Flinn, M. Satyanarayanan, Shafeeq Sinnamohideen, Hen-I Yang. The case for cyber foraging. In: Proc. of the 10th workshop on ACM SIGOPS European workshop, 2002, pp. 87--92. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Tommi Kallonen, Jari Porras. Use of distributed resources in mobile environment. In: Proc. of IEEE International Conference on Software in Telecommunications and Computer Networks, 2006, pp. 281--285. Google ScholarGoogle ScholarCross RefCross Ref
  9. Byung-Gon Chun, Petros Maniatis. Augmented Smartphone Applications Through Clone Cloud Execution. In: Proc. of the 12th conference on Hot topics in operating systems, 2009, pp. 8--8.Google ScholarGoogle Scholar
  10. Jason Flinn, Dushyanth Narayanan, M. Satyanarayanan. Self-tuned remote execution for pervasive computing. In: Proc. of the Eighth Workshop on Hot Topics in Operating Systems, 2001, pp. 61--66. Google ScholarGoogle ScholarCross RefCross Ref
  11. Alan Messer, Ira Greenberg, Philippe Bernadat, Dejan Milojicic, Deqing Chen, T. J. Giuli, Xiaohui Gu. Towards a Distributed Platform for Resource-Constrained Devices. In: Proc. of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02), 2002, pp. 43--51. Google ScholarGoogle ScholarCross RefCross Ref
  12. Adam Wolbach, Jan Harkes, Srinivas Chellappa, M. Satyanarayanan. Transient customization of mobile computing infrastructure. In: Proc. of the First Workshop on Virtualization in Mobile Computing, 2008, pp. 37--41 Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Michael Philippsen, Matthias Zenger. JavaParty -- transparent remote objects in Java. Concurrency Practice & Experience, 2003, 9(11): 1225--1242. Google ScholarGoogle ScholarCross RefCross Ref
  14. Roelof Kemp, Nicholas Palmer, Thilo Kielmann, Henri Bal. Cuckoo: A Computation Offloading Framework for Smartphones. Mobile Computing, Applications, and Services. Springer Berlin Heidelberg, 2012, pp. 59--79.Google ScholarGoogle Scholar
  15. Ying Zhang, Gang Huang, Xuanzhe Liu, Wei Zhang, Hong Mei, Shunxiang Yang. Refactoring android Java code for on-demand computation offloading. In: Proc. of the ACM international conference on Object oriented programming systems languages and applications, 2012, 47(10): 233--248. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Zixue Cheng, et al. "Just-in-Time Code Offloading for Wearable Computing." IEEE Transactions on Emerging Topics in Computing3.1(2015):74--83. Google ScholarGoogle ScholarCross RefCross Ref
  17. Anuradha Ravi, Sateesh K. Peddoju. Handoff Strategy for Improving Energy Efficiency and Cloud Service Availability for Mobile Devices. Wireless Personal Communications, 2014, 81(1): 101--132. Google ScholarGoogle ScholarDigital LibraryDigital Library

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    Internetware '17: Proceedings of the 9th Asia-Pacific Symposium on Internetware
    September 2017
    172 pages
    ISBN:9781450353137
    DOI:10.1145/3131704

    Copyright © 2017 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 23 September 2017

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • short-paper
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate55of111submissions,50%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader